Triple

T2915609
Position Surface form Disambiguated ID Type / Status
Subject Vogtland E78598 entity
Predicate contains P35 FINISHED
Object Auerbach (Vogtland)
Auerbach (Vogtland) is a town in the Vogtland region of Saxony, Germany, known for its historical architecture and location in a hilly, forested landscape.
 E310951 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Auerbach (Vogtland) | Statement: [Vogtland, contains, Auerbach (Vogtland)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Auerbach (Vogtland)
Context triple: [Vogtland, contains, Auerbach (Vogtland)]
  • A. Tirschenreuth
    Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
  • B. Ebersberg
    Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Zwönitz
    Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
  • E. Teutschenthal
    Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Auerbach (Vogtland)
Triple: [Vogtland, contains, Auerbach (Vogtland)]
Generated description
Auerbach (Vogtland) is a town in the Vogtland region of Saxony, Germany, known for its historical architecture and location in a hilly, forested landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Auerbach (Vogtland)
Target entity description: Auerbach (Vogtland) is a town in the Vogtland region of Saxony, Germany, known for its historical architecture and location in a hilly, forested landscape.
  • A. Tirschenreuth
    Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
  • B. Ebersberg
    Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
  • C. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • D. Zwönitz
    Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
  • E. Teutschenthal
    Teutschenthal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a1a9f8819095fe3198e9d3f6b0 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056249b5c8190b388088bf047616f completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06434bef48190848d8ab1aa59937c completed March 10, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69b064a3b41481909214a09eae0b092b completed March 10, 2026, 6:36 p.m.
Created at: March 8, 2026, 2:52 p.m.